Skill UI

This skill provides a comprehensive and reproducible execution workflow for matched tumor-normal pair analyses using the nf-core/pacsomatic pipeline. It manages the entire process, including input validation (BAM files), generating pacsomatic-compliant samplesheets, creating reproducible launch artifacts (params YAML), and supporting execution submission to various schedulers (Slurm, LSF, PBS). Use this skill for dry-run validation, local execution, or job submission, ensuring consistent and traceable results.

Calculates statistical power and required sample sizes for study planning. It supports both closed-form methods (for standard tests like t-tests, ANOVA) and simulation-based methods (for complex models like mixed models or survival analysis). Use this skill to determine the minimum detectable effect (MDE) or justify sample sizes for grants and IRB protocols before data collection.

This skill guides the design of statistically rigorous A/B tests for optimizing product features, UI/UX changes, onboarding flows, and pricing models. It generates a complete test plan, including formulating hypotheses, calculating required sample sizes, estimating test duration, defining primary and guardrail metrics, and providing a detailed guide on interpreting results (ship, iterate, or reject).